# joke2k/faker

Faker is a Python package that generates fake data for you.

Repository: https://github.com/joke2k/faker
Canonical: https://ross.abutalabs.com/products/joke2k-faker
Homepage: https://faker.readthedocs.io
Language: Python
License: MIT
License Family: permissive
Topics: python, fake, testing, dataset, fake-data, test-data, test-data-generator, faker, faker-generator
Last push: 2026-08-21T16:43:48+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 86, longevity 100
- inputs: {"age_days": 5042, "days_push": 12, "days_rel": 12, "gap_med": 0, "n_releases_24m": 124}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 19380, forks 2110 (observed 2026-08-28T04:11:27.681078+00:00)

## What it is
Faker is a Python library that generates realistic fake data such as names, addresses, and text. It is commonly used to seed databases, create test fixtures, and anonymize production data.

## Use cases
- generate fake user names and addresses for tests
- seed a database with realistic sample data
- create test fixtures for unit tests
- anonymize production data for development
- generate sample XML or JSON documents
- stress test persistence layers with bulk data

## When to choose
- you need realistic-looking fake data in Python
- you want to populate a dev or staging database
- you need locale-specific fake data
- you want to anonymize data taken from production

## When to avoid
- you need real, verified user data
- you need cryptographically secure random values
- you work outside the Python ecosystem

## Facets
- artifact type: library
- maturity: stable
- function: data-generation, testing, mocking
- domain: developer-tools, testing, data-science
- platform: python, cross-platform
- tags: fake-data, test-data-generator, seed-data, data-anonymization, python-package

## Member repositories
- joke2k/faker (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:27.681078+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:00:09.706876+00:00, confidence not recorded.
  - readme: https://github.com/joke2k/faker (fetched 2026-08-28T04:11:27.681078+00:00, sha cce2f367dab5)
  - homepage: https://faker.readthedocs.io (fetched 2026-08-29T07:58:29.487513+00:00, sha 31b270d77e54)
- Data as of 2026-08-30T08:39:29.467469+00:00.